Yizhe Cao

TACC: Multi-Agent Reinforcement Learning for Task Allocation with Communication Coordination in UAV Swarms

Bridging the Reality Gap: Communication-Aware Task Allocation with Multi-Objective Asynchronous Policy Learning

Distributed task allocation in the UAV swarm is sensitive to excessive communication overhead and frequent transmissions. Combining reinforcement learning and task allocation demonstrates great potential in enhancing algorithm performance and optimizing communication. However, existing studies rely